Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...
Scientific ideas sometimes have to wait decades for technology to catch up. Statistical algorithms developed at the Yerevan ...
Researchers at Texas Children's Neurological Research Institute (NRI) and Baylor College of Medicine have developed a powerful new tool within the Genome Aggregation Database (gnomAD) to sharpen the ...
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability*, particularly for reasoning and planning (known as System 2 abilities) has been lacking.
(Medical Xpress)—When influenza vaccinations are unavailable, public health policy favors nonpharmaceutical household interventions. So households also present perfect settings for researchers to ...
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
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